Poisson Analysis of Suicide in Japan using Municipal Data
Poisson Analysis of Suicide in Japan using Municipal Data
复制标题
使用市政数据对日本自杀事件进行泊松分析
DOI：
10.1080/13504851.2014.881960
复制
发表时间：
2014
影响因子：
1.6
通讯作者：
Saki Sugano and Yusuke Matsuki
中科院分区：
文献类型：
--
作者：
Kazuki KASAI;Hideyuki MURAKAMI and Kazuhiko NODA;Saki Sugano and Yusuke Matsuki
本文采用基于泊松的回归方法，利用市级数据调查了日本自杀与社会经济因素之间的关系。我们证明了这种方法比OLS方法的优势，并表明与OLS相比，我们的方法产生了合理的结果。我们的研究结果表明，经济困难和社会孤立与自杀率显著相关，而医院的可及性可以降低自杀率。
This article investigates the nexus between suicide and socio-economic factors in Japan using municipality-level data using Poisson-based regression methods. We demonstrate the advantage of this method over the OLS approach and show that our method yields reasonable results compared to OLS. Our results show that economic difficulty and social isolation are significantly associated with suicide rate, and accessibility to hospitals can reduce suicide rates.